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Lumpability for Uncertain Continuous-Time Markov Chains

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Contribution for newspaper or weekly magazine , Article 01 Jan 2021 United Kingdom, Italy, Denmark, Italy English Publisher:Springer International PublishingFunded by:EC | LASSO
Authors: Luca Cardelli; Radu Grosu; Kim G. Larsen; Mirco Tribastone; Max Tschaikowski; Andrea Vandin;

doi: 10.1007/978-3-030-85172-9_21 , 10.5281/zenodo.4699211 , 10.5281/zenodo.4699210

handle: 11573/1745193 , 11382/539911

Lumpability for Uncertain Continuous-Time Markov Chains

Abstract

This is the accompanying material for the draft with same title and authors of this repository. The pdf is an extended version of the draft containing the proofs, while the archive contains information on how to replicate the experiments presented in the draft and all the used models.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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